- Applied Machine Learning
- Predictive Modeling
- Machine Learning
- Python Programming
- Scikit Learn (Machine Learning Library)
- Decision Tree Learning
- Supervised Learning
- Feature Engineering
- Artificial Neural Networks
- Classification Algorithms
- Random Forest Algorithm
- Model Evaluation
Applied Machine Learning in Python
Completed by KE ZHU
March 3, 2018
31 hours (approximately)
KE ZHU's account is verified. Coursera certifies their successful completion of Applied Machine Learning in Python
What you will learn
Describe how machine learning is different than descriptive statistics
Create and evaluate data clusters
Explain different approaches for creating predictive models
Build features that meet analysis needs
Skills you will gain
